Unified Listener Profile for Disparate Data Coherence

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Solution Overview

Problem

Current listener data for broadcast or streaming radio is disparate and loosely organized, limiting its usefulness for media outlets to effectively promote themselves to listeners, as a complete and usable representation of listener preferences and demographics is not available.

Innovation Solution

A method of gathering listener data by obtaining behavioral information from multiple devices, correlating it, and assigning user identifiers to associate the data, allowing for personalized content distribution and promotional campaigns based on user behavior, with credits and promotions available for users.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If listener data is collected from multiple disparate databases and websites, then the quantity of listener data increases, but the coherence and usability of the data decreases

Engineering Contradiction:
Improvequantity of listener dataVSAvoidcoherence of listener data
Core Design Contradiction:
Quantity of substanceVSStability of the object's composition

Solution Approach 1:

The patent merges listener data from multiple disparate databases and websites by creating a unified listener profile that consolidates information across different sources. The system combines data from radio listening, online browsing, and purchasing activities into a single coherent profile, resolving the contradiction between data quantity and data coherence.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent introduces an intermediary listener identifier (such as a cookie or unique ID) that acts as a mediator to link data from multiple sources. This intermediary element connects disparate databases through a common reference point, enabling coherent data aggregation without requiring direct integration of all source systems.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Loss of information

If anonymous user activities are tracked across multiple websites, then the completeness of listener profile increases, but the complexity of data management increases

Engineering Contradiction:
Improvecompleteness of listener profileVSAvoidcomplexity of data management
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The patent segments the data collection and management process into distinct modules: data collection from various sources, data storage in separate databases, and data retrieval/processing. This segmentation allows the system to maintain complete listener profiles while managing complexity through modular architecture, where each component handles specific tasks independently.

Inventive Principle:
Principle #1Segmentation

3Reliability

If listener data is aggregated into a unified profile, then the usefulness for promotional campaigns increases, but the difficulty of detecting and measuring user behavior across sources increases

Engineering Contradiction:
Improveusefulness for promotional campaignsVSAvoiddifficulty of tracking user behavior
Core Design Contradiction:
ReliabilityVSDifficulty of detecting and measuring

Solution Approach 1:

The patent implements feedback mechanisms where the system continuously monitors and updates listener profiles based on new activities. The unified profile provides feedback about listener preferences and behavior patterns, which in turn guides more effective promotional campaigns. This creates a closed-loop system where measurement and action reinforce each other, resolving the contradiction between reliability and measurement difficulty.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS20230316330A1Delivering content to user based on anonymous on-line user activities
Publication Date: 2023.10.05 IHEARTMEDIA MANAGEMENT SERVICES INC
  • US20230316330A1 patent drawing
  • US20230316330A1 patent drawing
  • US20230316330A1 patent drawing

AI summary

A profiling system including one or more processing devices assigns a classification to a particular user based on anonymous on-line user activities engaged in by the particular user via a plurality of different on-line sites. The profiling system determines that the particular user is currently accessing a particular on-line site. In response to determining that the particular user is currently accessing the particular on-line site, the profiling system delivers selected content to the particular user, wherein the selected content is automatically selected based on the classification.